Jared J. Wolf, \Ecient acoustic parameters for speaker recognition," The Journal of the Acoustic Society of America, vol. 51, no. 6(part 2), pp. 2044-2055, March 1972.  Home/Search   Document Not in Database   Summary   Related Articles

....by a set of parameters which capture essentially all the key attributes of the original data, we can use this as a feature set. These features must occur frequently, should be easily measurable, should not vary with time, and must not be distorted by channel distortion and background noise [6]. These features may be derived from the data or may be based on the knowledge of the characteristics of the data. For example, if the data is telephone speech then maximum frequency content is 4kHz; if the language spoken is Tamil then aspirated sounds cannot occur; if the data is of a particular ....

....SDR the task at hand. A. Features used for Audio Indexing The set of features commonly used for speaker recognition are formants of retro ex vowels and nasals, voice pitch frequency, amplitude spectrum of vowels and nasals, slope of the glottal source spectrum, word duration and pitch frequency [6] [7] Prosodic features like mean F 0 [8] mean and variance of the pitch periods in voiced segments and energy contours of speech [9] have been used. The rst four statistics of the pitch, i.e. mean, variance, skew and kurtosis have also been used [10] In the traditional approach of indexing ....

Jared J. Wolf, \Ecient acoustic parameters for speaker recognition," The Journal of the Acoustic Society of America, vol. 51, no. 6(part 2), pp. 2044-2055, March 1972.

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